Testing Microservices with Mountebank
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Slideshare: Setting up an HTTPS Imposter
Virtualizing the Product Catalog Service with Mountebank
Article: Using Predicates to Send Different Responses
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Animation: Testing microservices using service virtualization
Animation: Matching a request to a response
Animation: Response generation
Article: Mountebank and Continuous Delivery
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Testing Microservices with Mountebank is your guide to the ins and outs of testing microservices with service virtualization. The book offers unique insights into microservices application design and state-of-the-art testing practices that will deepen your microservices skills and improve your applications.A complete and practical introduction to service virtualization using Mountebank, with lots of usable examples.
Table of Contents takes you straight to the bookdetailed table of contents
Part 1: First Steps
1 Testing Microservices
1.1 A microservices refresher
1.1.1 The path towards microservices
1.1.2 Microservices and organizational structure
1.2 The problem with end-to-end testing
1.3 Understanding service virtualization
1.3.1 Test-by-test setup using an API
1.3.2 Using a persistent data store
1.3.3 Record and replay
1.4 Introducing mountebank
1.5 The service virtualization tool ecosystem
Summary
2 Taking Mountebank for a Test Drive
2.1 Setting up the example
2.2 HTTP and mountebank: a primer
2.3 Virtualizing the Product Catalog Service
2.4 Your first test
Summary
Part 2: Using mountebank
3 Testing Using Canned Responses
3.1 The Basics of Canned Responses
3.1.1 The Default Response
3.1.2 Understanding how the default response works
3.1.3 Changing the default response
3.1.4 Cycling through responses
3.2 HTTPS imposters
3.2.1 Setting up a trusted HTTPS imposter
3.2.2 Using mutual authentication
3.3 Saving the responses in a configuration file
3.3.1 Saving multiple imposters in the config file
Summary
4 Using Predicates to Send Different Responses
4.1 The basics of predicates
4.1.1 Types of predicates
4.1.2 Matching object request fields
4.1.3 The deepequals predicate
4.1.4 Matching multi-valued fields
4.1.5 The exists predicate
4.1.6 Conjunction Junction
4.1.7 A complete list of predicate types
4.2 Parameterizing predicates
4.2.1 Making case-sensitive predicates
4.3 Using predicates on JSON values
4.3.1 Using direct JSON predicates
4.3.2 Selecting a JSON value with JSONPath
4.4 Selecting XML values
Summary
5 Adding record / replay behavior
5.1 Setting up a proxy
5.2 Generating the correct predicates
5.2.1 Creating predicates with predicateGenerators
5.2.2 Adding predicate parameters
5.3 Capturing multiple responses for the same request
5.4 Ways to replay a proxy
5.5 Configuring the proxy
5.5.1 Using mutual authentication
5.5.2 Adding custom headers
5.6 Proxy use cases
5.6.1 Using a proxy as a fallback
5.6.2 Converting HTTPS to HTTP
Summary
6 Programming mountebank
6.1 Creating your own predicate
6.2 Creating your own dynamic response
6.2.1 Adding state
6.2.2 Adding async
6.2.3 Deciding between response vs. predicate injection
6.3 A word of caution: security matters
6.4 Debugging tips
Summary
7 Adding behaviors
7.1 Understanding behaviors
7.2 Decorating a response
7.2.1 Using the decorate function
7.2.2 Adding decoration to saved proxy responses
7.2.3 Adding middleware through shellTransform
7.3 Adding latency to a response
7.4 Repeating a response multiple times
7.5 Replacing content in the response
7.5.1 Copying request data to the response
7.5.2 Looking up data from an external data source
7.6 A complete list of behaviors
Summary
8 Protocols
8.1 How protocols work in mountebank
8.2 A TCP primer
8.3 Stubbing text-based TCP-based RPC
8.3.1 Creating a basic TCP imposter
8.3.2 Creating a TCP proxy
8.3.3 Matching and manipulating an XML payload
8.4 Binary support
8.4.1 Using binary mode with Base64 encoding
8.4.2 Using predicates in binary mode
8.5 Virtualizing a .NET Remoting service
8.5.1 Creating a simple .NET Remoting client
8.5.2 Virtualizing the .NET Remoting server
8.5.3 How to tell mountebank where the message ends
Summary
Part 3: Closing the Loop
9 Mountebank and continuous delivery
9.1 A continuous delivery refresher
9.1.1 Test strategy for continuous delivery with microservices
9.1.2 Mapping your test strategy to a deployment pipeline
9.2 Creating a test pipeline
9.2.1 Creating unit tests
9.2.2 Creating service tests
9.2.3 Balancing service virtualization with contract tests
9.2.4 Exploratory testing
Summary
10 Performance testing with mountebank
10.1 Why service virtualization enables performance testing
10.2 Defining your scenarios
10.3 Capturing the test data
10.3.1 Capturing the responses
10.3.2 Capturing the actual latencies
10.3.3 Simulating wild latency swings
10.4 Running the performance tests
10.5 Scaling mountebank
Summary
About the Technology
Even if you lab test each service in isolation, it’s challenging—and potentially dangerous—to test a live microservices system that’s changing and growing. Fortunately, you can use Mountebank to “imitate” the components of a distributed microservices application to give you a good approximation of the runtime conditions as you test individual services.
About the book
Testing Microservices with Mountebank introduces the powerful practice of service virtualization. In it, author Brandon Byars, Mountebank’s creator, offers unique insights into microservices application design and state-of-the-art testing practices. You’ll expand your understanding of microservices as you work with Mountebank’s imposters, responses, behaviors, and programmability. By mastering the powerful testing techniques in this unique book, your microservices skills will deepen and your applications will improve. For real.
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